Machine Learning

No-show Prediction Model Performance Among People With HIV: External Validation Study

Joseph A Mason, Eleanor E Friedman, Juan C Rojas, Jessica P Ridgway

J Med Internet Res 2023;25:e43277

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Machine Learning Approaches for Predicting Psoriatic Arthritis Risk Using Electronic Medical Records: Population-Based Study

Leon Tsung-Ju Lee, Hsuan-Chia Yang, Phung Anh Nguyen, Muhammad Solihuddin Muhtar, Yu-Chuan Jack Li

J Med Internet Res 2023;25:e39972

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Predicting Generalized Anxiety Disorder From Impromptu Speech Transcripts Using Context-Aware Transformer-Based Neural Networks: Model Evaluation Study

Bazen Gashaw Teferra, Jonathan Rose

JMIR Ment Health 2023;10:e44325

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Predicting Social Determinants of Health in Patient Navigation: Case Study

Francisco Iacobelli, Anna Yang, Laura Tom, Ivy S Leung, John Crissman, Rufino Salgado, Melissa Simon

JMIR Form Res 2023;7:e42683

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Prediction Models for Sleep Quality Among College Students During the COVID-19 Outbreak: Cross-sectional Study Based on the Internet New Media

Wanyu Zheng, Qingquan Chen, Ling Yao, Jiajing Zhuang, Jiewei Huang, Yiming Hu, Shaoyang Yu, Tebin Chen, Nan Wei, Yifu Zeng, Yixiang Zhang, Chunmei Fan, Youjuan Wang

J Med Internet Res 2023;25:e45721

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Acoustic Analysis of Speech for Screening for Suicide Risk: Machine Learning Classifiers for Between- and Within-Person Evaluation of Suicidality

Sooyeon Min, Daun Shin, Sang Jin Rhee, C Hyung Keun Park, Jeong Hun Yang, Yoojin Song, Min Ji Kim, Kyungdo Kim, Won Ik Cho, Oh Chul Kwon, Yong Min Ahn, Hyunju Lee

J Med Internet Res 2023;25:e45456

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Examining Homophily, Language Coordination, and Analytical Thinking in Web-Based Conversations About Vaccines on Reddit: Study Using Deep Neural Network Language Models and Computer-Assisted Conversational Analyses

Yue Li, William Gee, Kun Jin, Robert Bond

J Med Internet Res 2023;25:e41882

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Investigation of the Trajectory of Muscle and Body Mass as a Prognostic Factor in Patients With Colorectal Cancer: Longitudinal Cohort Study

Dongjin Seo, Han Sang Kim, Joong Bae Ahn, Yu Rang Park

JMIR Public Health Surveill 2023;9:e43409

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How Natural Language Processing Can Aid With Pulmonary Oncology Tumor Node Metastasis Staging From Free-Text Radiology Reports: Algorithm Development and Validation

Sander Puts, Martijn Nobel, Catharina Zegers, Iñigo Bermejo, Simon Robben, Andre Dekker

JMIR Form Res 2023;7:e38125

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A Standardized Clinical Data Harmonization Pipeline for Scalable AI Application Deployment (FHIR-DHP): Validation and Usability Study

Elena Williams, Manuel Kienast, Evelyn Medawar, Janis Reinelt, Alberto Merola, Sophie Anne Ines Klopfenstein, Anne Rike Flint, Patrick Heeren, Akira-Sebastian Poncette, Felix Balzer, Julian Beimes, Paul von Bünau, Jonas Chromik, Bert Arnrich, Nico Scherf, Sebastian Niehaus

JMIR Med Inform 2023;11:e43847

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Early Triage of Critically Ill Adult Patients With Mushroom Poisoning: Machine Learning Approach

Yuxuan Liu, Xiaoguang Lyu, Bo Yang, Zhixiang Fang, Dejun Hu, Lei Shi, Bisheng Wu, Yong Tian, Enli Zhang, YuanChao Yang

JMIR Form Res 2023;7:e44666

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Training and Profiling a Pediatric Facial Expression Classifier for Children on Mobile Devices: Machine Learning Study

Agnik Banerjee, Onur Cezmi Mutlu, Aaron Kline, Saimourya Surabhi, Peter Washington, Dennis Paul Wall

JMIR Form Res 2023;7:e39917

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Computerization of the Work of General Practitioners: Mixed Methods Survey of Final-Year Medical Students in Ireland

Charlotte Blease, Anna Kharko, Michael Bernstein, Colin Bradley, Muiris Houston, Ian Walsh, Kenneth D Mandl

JMIR Med Educ 2023;9:e42639

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Calibrating a Transformer-Based Model’s Confidence on Community-Engaged Research Studies: Decision Support Evaluation Study

Brian Ferrell, Sarah E Raskin, Emily B Zimmerman

JMIR Form Res 2023;7:e41516

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Deep Learning to Detect Pancreatic Cystic Lesions on Abdominal Computed Tomography Scans: Development and Validation Study

Maria Montserrat Duh, Neus Torra-Ferrer, Meritxell Riera-Marín, Dídac Cumelles, Júlia Rodríguez-Comas, Javier García López, Mª Teresa Fernández Planas

JMIR AI 2023;2:e40702

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Artificial Intelligence–Based Psoriasis Severity Assessment: Real-world Study and Application

Kai Huang, Xian Wu, Yixin Li, Chengzhi Lv, Yangtian Yan, Zhe Wu, Mi Zhang, Weihong Huang, Zixi Jiang, Kun Hu, Mingjia Li, Juan Su, Wu Zhu, Fangfang Li, Mingliang Chen, Jing Chen, Yongjian Li, Mei Zeng, Jianjian Zhu, Duling Cao, Xing Huang, Lei Huang, Xing Hu, Zeyu Chen, Jian Kang, Lei Yuan, Chengji Huang, Rui Guo, Alexander Navarini, Yehong Kuang, Xiang Chen, Shuang Zhao

J Med Internet Res 2023;25:e44932

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Emotional Distress During COVID-19 by Mental Health Conditions and Economic Vulnerability: Retrospective Analysis of Survey-Linked Twitter Data With a Semisupervised Machine Learning Algorithm

Michiko Ueda, Kohei Watanabe, Hajime Sueki

J Med Internet Res 2023;25:e44965

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Smartphone and Wearable Sensors for the Estimation of Facioscapulohumeral Muscular Dystrophy Disease Severity: Cross-sectional Study

Ahnjili Zhuparris, Ghobad Maleki, Ingrid Koopmans, Robert J Doll, Nicoline Voet, Wessel Kraaij, Adam Cohen, Emilie van Brummelen, Joris H De Maeyer, Geert Jan Groeneveld

JMIR Form Res 2023;7:e41178

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Development and Assessment of Assisted Diagnosis Models Using Machine Learning for Identifying Elderly Patients With Malnutrition: Cohort Study

Xue Wang, Fengchun Yang, Mingwei Zhu, Hongyuan Cui, Junmin Wei, Jiao Li, Wei Chen

J Med Internet Res 2023;25:e42435

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The Effectiveness of Wearable Devices Using Artificial Intelligence for Blood Glucose Level Forecasting or Prediction: Systematic Review

Arfan Ahmed, Sarah Aziz, Alaa Abd-alrazaq, Faisal Farooq, Mowafa Househ, Javaid Sheikh

J Med Internet Res 2023;25:e40259

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